Skip to content

Retire make_afun() - Batch 2 #1392

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 16 commits into from
Feb 24, 2025
Merged

Retire make_afun() - Batch 2 #1392

merged 16 commits into from
Feb 24, 2025

Conversation

edelarua
Copy link
Contributor

Pull Request

Fixes #1382

@edelarua edelarua added the sme label Feb 19, 2025
Copy link
Contributor

github-actions bot commented Feb 19, 2025

Unit Tests Summary

    1 files     84 suites   1m 18s ⏱️
  878 tests   869 ✅   9 💤 0 ❌
1 888 runs  1 191 ✅ 697 💤 0 ❌

Results for commit 8cefbde.

♻️ This comment has been updated with latest results.

Copy link
Contributor

github-actions bot commented Feb 19, 2025

Unit Test Performance Difference

Test Suite $Status$ Time on main $±Time$ $±Tests$ $±Skipped$ $±Failures$ $±Errors$
analyze_vars_in_cols 💔 $2.23$ $+3.47$ $+17$ $-7$ $0$ $0$
count_occurrences 💔 $0.76$ $+1.60$ $+10$ $-8$ $0$ $0$
summarize_coxreg 💔 $3.38$ $+1.83$ $+13$ $-13$ $0$ $0$
summarize_num_patients 💔 $1.12$ $+1.22$ $+18$ $-16$ $0$ $0$
survival_duration_subgroups 💔 $4.64$ $+1.33$ $+7$ $-14$ $0$ $0$
Additional test case details
Test Suite $Status$ Time on main $±Time$ Test Case
analyze_vars_in_cols 💔 $0.46$ $+1.53$ summarize_works_with_nested_analyze

Results for commit f583fac

♻️ This comment has been updated with latest results.

Copy link
Contributor

github-actions bot commented Feb 19, 2025

badge

Code Coverage Summary

Filename                                   Stmts    Miss  Cover    Missing
---------------------------------------  -------  ------  -------  ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
R/abnormal_by_baseline.R                      96       3  96.88%   235, 237-238
R/abnormal_by_marked.R                        83       8  90.36%   94-98, 274, 276-277
R/abnormal_by_worst_grade.R                   89       3  96.63%   208, 210-211
R/abnormal_lab_worsen_by_baseline.R          150      10  93.33%   194-197, 202, 204-205, 448-450
R/abnormal.R                                  73       2  97.26%   215, 217
R/analyze_variables.R                        287       5  98.26%   587-590, 778
R/analyze_vars_in_cols.R                     178      14  92.13%   178, 221, 235-236, 238, 246-254
R/bland_altman.R                              92       1  98.91%   46
R/combination_function.R                       9       0  100.00%
R/compare_variables.R                         35       0  100.00%
R/control_incidence_rate.R                    10       0  100.00%
R/control_logistic.R                           7       0  100.00%
R/control_step.R                              23       1  95.65%   58
R/control_survival.R                          15       0  100.00%
R/count_cumulative.R                          59       1  98.31%   74
R/count_missed_doses.R                        36       0  100.00%
R/count_occurrences_by_grade.R               153       2  98.69%   177, 272
R/count_occurrences.R                        115       1  99.13%   118
R/count_patients_events_in_cols.R             67       1  98.51%   60
R/count_patients_with_event.R                 61       1  98.36%   123
R/count_patients_with_flags.R                 84       1  98.81%   137
R/count_values.R                              68       2  97.06%   206, 209
R/cox_regression_inter.R                     154       0  100.00%
R/cox_regression.R                           161       0  100.00%
R/coxph.R                                    167       7  95.81%   191-195, 238, 253, 261, 267-268
R/d_pkparam.R                                406       0  100.00%
R/decorate_grob.R                            113       0  100.00%
R/desctools_binom_diff.R                     621      64  89.69%   53, 88-89, 125-126, 129, 199, 223-232, 264, 266, 286, 290, 294, 298, 353, 356, 359, 362, 422, 430, 439, 444-447, 454, 457, 466, 469, 516-517, 519-520, 522-523, 525-526, 593, 604-616, 620, 663, 676, 680
R/df_explicit_na.R                            30       0  100.00%
R/estimate_multinomial_rsp.R                  50       1  98.00%   65
R/estimate_proportion.R                      205      11  94.63%   83-90, 94, 99, 320, 486
R/fit_rsp_step.R                              36       0  100.00%
R/fit_survival_step.R                         36       0  100.00%
R/formatting_functions.R                     183       2  98.91%   141, 276
R/g_forest.R                                 585      60  89.74%   240, 252-255, 260-261, 275, 277, 287-290, 335-338, 345, 414, 501, 514, 518-519, 524-525, 538, 554, 601, 630, 705, 714, 720, 739, 794-814, 817, 828, 847, 902, 905, 1040-1045
R/g_ipp.R                                    133       0  100.00%
R/g_km.R                                     350      57  83.71%   285-288, 307-309, 363-366, 400, 428, 432-475, 482-486
R/g_lineplot.R                               260      22  91.54%   204, 378-385, 424-434, 543, 551
R/g_step.R                                    68       1  98.53%   108
R/g_waterfall.R                               47       0  100.00%
R/h_adsl_adlb_merge_using_worst_flag.R        73       0  100.00%
R/h_biomarkers_subgroups.R                    46       0  100.00%
R/h_cox_regression.R                         110       0  100.00%
R/h_incidence_rate.R                          45       0  100.00%
R/h_km.R                                     509      41  91.94%   137, 189-194, 287, 378, 380-381, 392-394, 413, 420-421, 423-425, 433-435, 460, 465-468, 651-654, 1108-1119
R/h_logistic_regression.R                    468       3  99.36%   203-204, 273
R/h_map_for_count_abnormal.R                  54       0  100.00%
R/h_pkparam_sort.R                            15       0  100.00%
R/h_response_biomarkers_subgroups.R           90      12  86.67%   50-55, 107-112
R/h_response_subgroups.R                     178      18  89.89%   257-270, 329-334
R/h_stack_by_baskets.R                        64       1  98.44%   89
R/h_step.R                                   180       0  100.00%
R/h_survival_biomarkers_subgroups.R           88       6  93.18%   111-116
R/h_survival_duration_subgroups.R            207      18  91.30%   259-271, 336-341
R/imputation_rule.R                           17       0  100.00%
R/incidence_rate.R                            86       7  91.86%   67-72, 152
R/logistic_regression.R                      102       0  100.00%
R/missing_data.R                              21       3  85.71%   32, 66, 76
R/odds_ratio.R                               117       0  100.00%
R/prop_diff_test.R                            91       0  100.00%
R/prop_diff.R                                265      15  94.34%   70-73, 105, 290-297, 440, 605
R/prune_occurrences.R                         57       0  100.00%
R/response_biomarkers_subgroups.R             69       6  91.30%   196-201
R/response_subgroups.R                       214       8  96.26%   100-105, 260-261
R/riskdiff.R                                  65       5  92.31%   102-105, 114
R/rtables_access.R                            38       0  100.00%
R/score_occurrences.R                         20       1  95.00%   124
R/split_cols_by_groups.R                      49       0  100.00%
R/stat.R                                      59       0  100.00%
R/summarize_ancova.R                         139       2  98.56%   313-314
R/summarize_change.R                          77       1  98.70%   189
R/summarize_colvars.R                         10       0  100.00%
R/summarize_coxreg.R                         172       0  100.00%
R/summarize_glm_count.R                      266      10  96.24%   129-130, 202-203, 456-460, 593
R/summarize_num_patients.R                    93       4  95.70%   117-119, 266
R/summarize_patients_exposure_in_cols.R       96       1  98.96%   56
R/survival_biomarkers_subgroups.R             78       6  92.31%   117-122
R/survival_coxph_pairwise.R                   84      12  85.71%   51-52, 64-73
R/survival_duration_subgroups.R              212       6  97.17%   124-129
R/survival_time.R                            111       0  100.00%
R/survival_timepoint.R                       124      10  91.94%   131-140
R/utils_checkmate.R                           68       0  100.00%
R/utils_default_stats_formats_labels.R       178       0  100.00%
R/utils_factor.R                              87       1  98.85%   84
R/utils_ggplot.R                             110       0  100.00%
R/utils_grid.R                               126       5  96.03%   164, 279-286
R/utils_rtables.R                            124       9  92.74%   39, 46, 403-404, 526-530
R/utils_split_funs.R                          52       2  96.15%   82, 94
R/utils.R                                    141       7  95.04%   118, 121, 124, 128, 137-138, 332
TOTAL                                      11140     501  95.50%

Diff against main

Filename                   Stmts    Miss  Cover
-----------------------  -------  ------  -------
R/summarize_ancova.R         +33       0  +0.45%
R/summarize_glm_count.R      +28      +2  -0.40%
TOTAL                        +61      +2  +0.01%

Results for commit: 8cefbde

Minimum allowed coverage is 80%

♻️ This comment has been updated with latest results

@shajoezhu
Copy link
Contributor

all looks good downstream in scda.test insightsengineering/scda.test#187

Copy link
Contributor

@Melkiades Melkiades left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Lgtm! Why no custom stats for this one? is it because it uses a summary output? Anyway we can come back to it later. Thanks Emily!!

@edelarua edelarua merged commit a9c7d20 into main Feb 24, 2025
29 checks passed
@edelarua edelarua deleted the 1382_retire_make_afun_2 branch February 24, 2025 20:39
@github-actions github-actions bot locked and limited conversation to collaborators Feb 24, 2025
@@ -232,7 +237,7 @@ a_ancova <- function(df,
)

# Fill in formatting defaults
.stats <- get_stats("summarize_ancova", stats_in = .stats)
.stats <- c(get_stats("summarize_ancova", stats_in = .stats), names(custom_stat_functions))
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

This forces the order. I have a fix ready, I will add it in another PR ;)

Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.
Labels
Projects
None yet
Development

Successfully merging this pull request may close these issues.

Retire make_afun() - Batch 2
3 participants